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01:31:53
Java Follow 324 Followers

Building and Tuning High Performance Java Platforms

Posted by Emad Benjamin  on  Nov 08, 2015 Posted by Emad Benjamin Follow 0 Followers  on  Nov 08, 2015

Emad Benjamin covers various GC tuning techniques and how to best build platform engineered systems; in particular the focus is on tuning large scale JVM deployments.

54:07
Java Follow 324 Followers

Concurrency Options on the JVM

Posted by Jessica Kerr  on  Oct 17, 2015 2 Posted by Jessica Kerr Follow 0 Followers  on  Oct 17, 2015 2

Jessica Kerr covers some of the concurrency tools existing in JVM languages including ExecutorService, Futures, Akka actors, and core.async coroutines, providing advice on writing deadlock-free code.

40:56
JavaScript Follow 89 Followers

J2V8 a Highly Efficient JS Runtime for Java

Posted by Ian Bull  on  Sep 04, 2015 Posted by Ian Bull Follow 0 Followers  on  Sep 04, 2015

Ian Bull introduces J2V8 and its API, how it was inspired by SWT, how V8 (C++) was integrated with Java, and some Eclipse tools for developing JavaScript applications on J2V8.

56:57
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Designing Secure Services with Unikernels: a Tough Nut to Crack

Posted by Anil Madhavapeddy  on  Aug 09, 2015 Posted by Anil Madhavapeddy Follow 0 Followers  on  Aug 09, 2015

Anil Madhavapeddy describes how to design and build "deploy-and-forget" cloud services that are specialized into unikernels, single-address space virtual machines.

30:26
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JVM Optimization 101

Posted by Sebastian Zarnekow  on  Jul 31, 2015 1 Posted by Sebastian Zarnekow Follow 0 Followers  on  Jul 31, 2015 1

Sebastian Zarnekow discusses JVM internal optimizations, presenting how the JVM sees through code to apply techniques like inlining, loop unrolling and escape analysis at runtime.

45:56
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Microservices - Are Your Frameworks Ready?

Posted by Alex Heusingfeld  on  Jul 10, 2015 Posted by Alex Heusingfeld Follow 0 Followers , Martin Eigenbrodt Follow 0 Followers  on  Jul 10, 2015

Alex Heusingfeld, Martin Eigenbrodt discuss some of the challenges creating microservices on JVM stacks with examples using Dropwizard, Spring Cloud and Play2 Scala.

35:50
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Lambda Mechanics

Posted by Marc Hoffmann  on  Jul 01, 2015 Posted by Marc Hoffmann Follow 0 Followers  on  Jul 01, 2015

Marc Hoffmann explores the technical details of compiled lambda expressions and method references which come with several performance benefits and could also be used for other JVM languages.

01:00:18
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Faster Objects and Arrays

Posted by Gil Tene  on  May 10, 2015 3 Posted by Gil Tene Follow 3 Followers  on  May 10, 2015 3

Gil Tene introduces org.ObjectLayout, a new Java package designed specifically to enable JVMs to optimize memory layout for arrays and objects matching the performance of arrays of structs in C.

43:51
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Swift - Under the Hood

Posted by Alex Blewitt  on  Mar 28, 2015 Posted by Alex Blewitt Follow 2 Followers  on  Mar 28, 2015

Alex Blewitt introduces the history behind Swift, why it was created, how it differs from Objective-C and how Swift is compiled and executed under the covers.

46:32
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Unikernels: Who, What, Where, When, Why

Posted by Adam Wick  on  Feb 21, 2015 Posted by Adam Wick Follow 0 Followers  on  Feb 21, 2015

Adam Wick explains the promise of unikernels (single-purpose, lightweight virtual machines) and shares experiences about when unikernels are appropriate solutions and when they are not.

16:17
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Rubah: DSU for Java on a Stock JVM

Posted by Luís Pina  on  Feb 18, 2015 Posted by Luís Pina Follow 0 Followers , Luís Veiga Follow 0 Followers , Michael Hicks Follow 0 Followers  on  Feb 18, 2015

Luís Pina, Luís Veiga, Michael Hicks introduce Rubah, a method for dynamically updating applications running on the JVM.

47:35
Followers

Dr. Streamlove, or: How I Learned to Stop Worrying and Love the Flow

Posted by Viktor Klang  on  Feb 12, 2015 Posted by Viktor Klang Follow 1 Followers  on  Feb 12, 2015

Viktor Klang shows the purpose and power of streaming concurrent data processing with safe bounds using back pressure, discussing Akka streams and dynamic runtime as well as compile time optimizations

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